Entry Level System Provides Top CHN Microanalysis Performance
Sep 27 2014
Exeter Analytical has introduced an entry-level manual version of their high performance Model 440 Elemental Analyser for determining percentage levels of carbon, hydrogen and nitrogen (CHN) quickly, easily and reliably across the widest range of sample types.
Competitively priced, the manual Model 440 offers labs running smaller numbers of samples a no-compromise entry point into high performance CHN analysis.
The manual Model 440 is based upon Exeter Analytical’s proven static combustion elemental analyser incorporating a unique horizontal furnace design. This horizontal furnace enables easy removal of sample residue (metals, inorganics) between each material analysis thereby eliminating the possibility of contamination. In addition, the gas flow characteristics of the Model 440 analyser are superior to other elemental analysers due to the effective elimination of troublesome residue build-up over time. Consequently the Model 440 provides longer-term calibration stability as well as enhanced accuracy and precision for measured sample data.
For labs looking to determine sample ash content the horizontal furnace design of the manual Model 440 makes this analysis routine. The manual system also offers the flexibility for labs determining low level CHN samples to introduce higher sample weights and for those analysing refractory materials to treat them with higher levels of additives to ensure complete combustion. If your demand for CHN analysis grows the manual Model 440 can be upgraded at any point into a fully automated system.
Low gas and reagent consumption combined with high reduction tube life allows the manual Model 440 to deliver some of the lowest operating costs of any CHN elemental analyser commercially available. Intuitive Windows based operating software reduces human errors through incorporation of extensive automation, comprehensive customer help and diagnostic facilities. Most parts on the Model 440 are user replaceable further reducing operating costs and downtime.
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